Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case

Date Issued
2018
Author(s)
•
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Amaro, Valeria
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•
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Vellucci, Civita
•
Longo, Giuseppe
DOI
Abstract
Astronomy has entered the big data era and Machine Learning based methods have found widespread use in a large variety of astronomical applications. This is demonstrated by the recent huge increase in the number of publications making use of this new approach. The usage of machine learning methods, however is still far from trivial and many problems still need to be solved. Using the evaluation of photometric redshifts as a case study, we outline the main problems and some ongoing efforts to solve them.
Coverage
Data Analytics and Management in Data Intensive Domains XIX International Conference, DAMDID/RCDL 2017
All editors
Kalinichenko, Leonid ; Kuznetsov, Sergei O.; Manolopoulos, Yannis
Series
Volume
822
Start page
61
Conferenece
Data Analytics and Management In Data Intensive Domains 2017
Conferenece place
Moscow, Russia
Conferenece date
October 10-13, 2017
Uri
Url
Issn Identifier
1865-0929
Ads BibCode
2018arXiv180207683B
Rights
open.access
File(s)
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1802.07683.pdf

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postprint
Size

590.51 KB

Format

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